tensorblock/pai-qwen1_5-7b-doc2qa-GGUF

alibaba-pai/pai-qwen1_5-7b-doc2qa - GGUF

This repo contains GGUF format model files for alibaba-pai/pai-qwen1_5-7b-doc2qa.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.

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## Prompt template

<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

Model file specification

Filename	Quant type	File Size	Description
pai-qwen1_5-7b-doc2qa-Q2_K.gguf	Q2_K	3.104 GB	smallest, significant quality loss - not recommended for most purposes
pai-qwen1_5-7b-doc2qa-Q3_K_S.gguf	Q3_K_S	3.569 GB	very small, high quality loss
pai-qwen1_5-7b-doc2qa-Q3_K_M.gguf	Q3_K_M	3.919 GB	very small, high quality loss
pai-qwen1_5-7b-doc2qa-Q3_K_L.gguf	Q3_K_L	4.218 GB	small, substantial quality loss
pai-qwen1_5-7b-doc2qa-Q4_0.gguf	Q4_0	4.512 GB	legacy; small, very high quality loss - prefer using Q3_K_M
pai-qwen1_5-7b-doc2qa-Q4_K_S.gguf	Q4_K_S	4.543 GB	small, greater quality loss
pai-qwen1_5-7b-doc2qa-Q4_K_M.gguf	Q4_K_M	4.767 GB	medium, balanced quality - recommended
pai-qwen1_5-7b-doc2qa-Q5_0.gguf	Q5_0	5.399 GB	legacy; medium, balanced quality - prefer using Q4_K_M
pai-qwen1_5-7b-doc2qa-Q5_K_S.gguf	Q5_K_S	5.399 GB	large, low quality loss - recommended
pai-qwen1_5-7b-doc2qa-Q5_K_M.gguf	Q5_K_M	5.531 GB	large, very low quality loss - recommended
pai-qwen1_5-7b-doc2qa-Q6_K.gguf	Q6_K	6.342 GB	very large, extremely low quality loss
pai-qwen1_5-7b-doc2qa-Q8_0.gguf	Q8_0	8.212 GB	very large, extremely low quality loss - not recommended

Downloading instruction

Command line

Firstly, install Huggingface Client

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

huggingface-cli download tensorblock/pai-qwen1_5-7b-doc2qa-GGUF --include "pai-qwen1_5-7b-doc2qa-Q2_K.gguf" --local-dir MY_LOCAL_DIR

If you wanna download multiple model files with a pattern (e.g., *Q4_K*gguf), you can try:

huggingface-cli download tensorblock/pai-qwen1_5-7b-doc2qa-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'